Update main automation workflow to use wildcard for dotcover report path

Calculations/Basics/COVAR_Series.cs

@@ -0,0 +1,46 @@
+namespace QuanTAlib;
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+/* <summary>
+COVAR: Covariance
+   Covariance is defined as the expected value (or mean) of the product
+   of their deviations from their individual expected values.
+
+Sources:
+  https://en.wikipedia.org/wiki/Covariance
+
+</summary> */
+
+
+public class COVAR_Series : Pair_TSeries_Indicator
+{
+  public COVAR_Series(TSeries d1, TSeries d2, int period, bool useNaN = false) : base(d1, d2, period, useNaN)
+  {
+	  if (base._d1.Count > 0 && base._d2.Count > 0) {
+		  for (int i = 0; i < base._d1.Count; i++) {
+			  this.Add(base._d1[i], base._d2[i], false);
+		  }
+	  }
+  }
+
+  private readonly System.Collections.Generic.List<double> _x = new();
+  private readonly System.Collections.Generic.List<double> _y = new();
+  private readonly System.Collections.Generic.List<double> _xy = new();
+
+  public override void Add((System.DateTime t, double v) TValue1, (System.DateTime t, double v) TValue2, bool update)
+  {
+    BufferTrim(_x, TValue1.v, _p, update);
+    BufferTrim(_y, TValue2.v, _p, update);
+    BufferTrim(_xy, TValue1.v * TValue2.v, _p, update);
+
+    double _avgx = _x.Average();
+    double _avgy = _y.Average();
+    double _avgxy = _xy.Average();
+    double _covar = _avgxy - (_avgx * _avgy);
+
+    var result = (TValue1.t, (this.Count < this._p - 1 && this._NaN) ? double.NaN : _covar);
+    if (update) { base[base.Count - 1] = result; } else { base.Add(result); }
+    }
+}